{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T17:34:51Z","timestamp":1777397691279,"version":"3.51.4"},"reference-count":39,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T00:00:00Z","timestamp":1754611200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      The aging United States population is expected to significantly increase by 2050, along with Alzheimer's disease (AD), a leading cause of cognitive impairment among older adults. AD is associated with declines in driving abilities and compromised safety, yet early detection remains challenging. Plasma biomarkers like ptau\n                      <jats:sub>217<\/jats:sub>\n                      and A\u03b2\n                      <jats:sub>42\/40<\/jats:sub>\n                      are potential tools for detecting preclinical AD, offering a less invasive and scalable alternative to traditional methods.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>\n                      This study explored the relationship between plasma biomarkers (ptau\n                      <jats:sub>217<\/jats:sub>\n                      and A\u03b2\n                      <jats:sub>42\/40<\/jats:sub>\n                      ) and longitudinal changes in naturalistic driving behaviors in older adults.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Participants were enrolled in longitudinal studies occurring in The DRIVES Project, which included older adults aged 65 and above who were cognitively normal at baseline. Longitudinal driving behaviors were captured daily using GPS-based data loggers, while plasma biomarkers were used to examine preclinical AD. Linear mixed-effects models assessed the relationship between preclinical AD and driving behaviors over a four-year period.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Participants with preclinical AD based on ptau\n                      <jats:sub>217<\/jats:sub>\n                      exhibited a decline in driving behaviors, including fewer long trips and visits to unique destinations, while driving more frequently per month. Preclinical AD based on A\u03b2\n                      <jats:sub>42\/40<\/jats:sub>\n                      showed increased shorter trips and reduced entropy. Both plasma analytes were associated with longitudinal changes in driving behaviors, but no significant differences in adverse events were observed.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      Plasma analytes ptau\n                      <jats:sub>217<\/jats:sub>\n                      and A\u03b2\n                      <jats:sub>42\/40<\/jats:sub>\n                      , are associated with subtle changes in driving behaviors, offering a non-invasive tool for early detection of preclinical AD. Driving behaviors analysis could be integrated into clinical practice for earlier intervention and better management of AD progression.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877251365636","type":"journal-article","created":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T08:09:30Z","timestamp":1754640570000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Longitudinal associations between plasma biomarkers and changes in naturalistic driving behaviors in older adults"],"prefix":"10.1177","author":[{"given":"Chen","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Neurology, School of Medicine, Washington University, St Louis, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7966-3509","authenticated-orcid":false,"given":"Ganesh M","family":"Babulal","sequence":"additional","affiliation":[{"name":"Department of Neurology, School of Medicine, Washington University, St Louis, MO, USA"},{"name":"Department of Psychology, Faculty of Humanities, University of Johannesburg, Johannesburg, South Africa"},{"name":"Institute of Public Health, Washington University, St Louis, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,8,8]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2023.16093"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.3390\/geriatrics1020012"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1093\/geroni\/igab051"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2020.596257"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1002\/alz.13809"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2017.10.009"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1212\/01.wnl.0000341931.35870.49"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1002\/alz.13455"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-021-01382-x"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-025-03605-x"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1002\/alz.14315"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1002\/alz.13125"},{"key":"e_1_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(21)00214-3"},{"key":"e_1_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000009240"},{"key":"e_1_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.02.032"},{"key":"e_1_3_3_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trf.2014.08.001"},{"key":"e_1_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-019-0084-2"},{"key":"e_1_3_3_19_2","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-181242"},{"key":"e_1_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13195-021-00852-1"},{"key":"e_1_3_3_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(13)70194-7"},{"key":"e_1_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-161209"},{"key":"e_1_3_3_23_2","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-160276"},{"key":"e_1_3_3_24_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.43.11.2412-a"},{"key":"e_1_3_3_25_2","doi-asserted-by":"publisher","DOI":"10.12688\/f1000research.9150.1"},{"key":"e_1_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.1177\/0733464817690679"},{"key":"e_1_3_3_27_2","doi-asserted-by":"publisher","DOI":"10.12688\/f1000research.9608.2"},{"key":"e_1_3_3_28_2","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-221268"},{"key":"e_1_3_3_29_2","doi-asserted-by":"publisher","DOI":"10.1093\/gerona\/54.4.M203"},{"key":"e_1_3_3_30_2","doi-asserted-by":"publisher","DOI":"10.1002\/acn3.51670"},{"key":"e_1_3_3_31_2","doi-asserted-by":"publisher","DOI":"10.1002\/alz.13764"},{"key":"e_1_3_3_32_2","doi-asserted-by":"publisher","DOI":"10.1002\/sim.6607"},{"key":"e_1_3_3_33_2","unstructured":"Guo S Fraser MW. 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